mlr3pipelines Tutorial - German Credit

mlr3pipelines imputation filtering stacking german credit data set classification

In this use case, we continue working with the German credit dataset. We already used different Learners on it in previous posts and tried to optimize their hyperparameters. To make things interesting, we artificially introduce missing values into the dataset, perform imputation and filtering and stack Learners.

Martin Binder , Florian Pfisterer

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For attribution, please cite this work as

Binder & Pfisterer (2020, March 11). mlr3gallery: mlr3pipelines Tutorial - German Credit. Retrieved from

BibTeX citation

  author = {Binder, Martin and Pfisterer, Florian},
  title = {mlr3gallery: mlr3pipelines Tutorial - German Credit},
  url = {},
  year = {2020}